Been digging into @OpenGradient over the past few days, and one thing keeps standing out to me, not just the technology, but the behavior around the token.

The June 15 exchange listing brought a sharp surge in trading activity, highlighting how much of today's liquidity is still driven by exchange participation rather than direct protocol usage.

At its core, OpenGradient is building verifiable AI infrastructure through zkML, Trusted Execution Environments TEEs and auditable AI inference. The protocol also enables inference payments on Base, creating a framework for verifiable compute rather than simply another AI narrative.

What I find most interesting is that OpenGradient had already processed more than 2 million AI inferences before the major exchange listings. That suggests meaningful developer activity existed before speculative attention arrived.

The real question for me isn't whether the infrastructure is real, it is. The question is whether developer adoption and inference demand eventually become the primary driver of the ecosystem, or whether exchange-driven liquidity continues to dominate the narrative.

I'll be watching the growth of on chain inference usage much more closely than short term trading volume.

$OPG #OPG